CroMatcher results for OAEI 2016

However, unlike existing approaches, it addresses the multilingualism challenge by using (a) the Yandex translator 1 , (b) a translation into a pivot language after applying

The main strength of DisMatch (and its distributional semantic relatedness component) is its ability of finding non-trivial mappings, which seems to be confirmed by the number of

Generic ontology matching method The similarity computation is based on the semantic subgraphs, which means all the information used in the simi- larity computation comes from

For the cross-lingual ontology matching, at first every token of a given label s in in the source ontology S is enriched by related terms and synonyms from BabelNet and all of

Similarity Calculation & Instance Alignment: In OAEI 2016 instance matching track, some of subtasks are defined in the same language, while others use multilingual data sets

The SimCat system implements a matcher based on the categories of the words and a translation based on Yandex engine to find the semantic correspondences between different concepts

In this section, we present the evaluation results obtained by running XMap under the SEALS client with Benchmark, Anatomy, Conference, Multifarm, Interactive matching evaluation,

 Matcher that compares textual profiles of two entities with TF/IDF [3] and cosine similarity [4] is modified for the ontologies that contain more than 1000 entities in order